Support vector-based feature selection using Fisher's linear discriminant and Support Vector Machine.
Eunseog YounLars KoenigMyong K. JeongSeung H. BaekPublished in: Expert Syst. Appl. (2010)
Keyphrases
- linear discriminant
- support vector machine
- feature selection
- support vector
- maximum margin
- linear discriminant analysis
- dimensionality reduction
- svm classifier
- fisher criterion
- multi class
- hyperplane
- kernel function
- binary classification
- machine learning
- kernel methods
- feature space
- support vector machine svm
- model selection
- text categorization
- classification accuracy
- k nearest neighbor
- discriminant analysis
- cross validation
- hyperparameters
- knn
- text classification
- training set
- neural network
- class distribution
- cost sensitive
- information gain
- support vectors
- classification algorithm
- loss function
- generalization error
- high dimensional
- active learning
- multiple kernel learning
- feature set
- decision trees